期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：1Ver 2
出版社：Ayushmaan Technologies
摘要：The current state of the art in Content-Based Image Retrieval (CBIR), a technique for retrieving images on the basis of automatically-derived features such as color, texture and shape. Our findings are based both on a review of the relevant literature and on discussions with researchers in the field. The need to find a desired image from a collection is shared by many professional groups, including journalists, design engineers and art historians. The image properties are analyzed in this work by using image processing algorithms. For color the histogram of images is computed, for texture histograms of image are computed and entropy, smoothness and uniformity are calculated. For retrieval of images Euclidean distance measure is used.
关键词：Content Based Image Retrieval System (CBIR); Query By Image Content (QBIC); Post Gray Map (PGM); Color Image Analysis; Retrieving Similar Images Using Euclidean Distance.t
